DataHero
DataHero produces a quick, human-readable explanation of a pandas DataFrame: summary, missing data, outliers, correlations, and suggested visualizations.
Author
Ganeshamoorthy
Email: ganeshms110@gmail.com
LinkedIn: https://www.linkedin.com/in/ganeshamoorthy-s-8466b7332
Quick example
import pandas as pd
from datahero import explain
df = pd.read_csv("sales.csv")
report = explain(df, save_plots=True, outdir="plots")
print(report["summary"])
1 maintainer
Metadata
1 maintainer
Release files for datahero 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| datahero-0.1.0.tar.gz | 4.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datahero-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.5 kB
Release files / datahero-0.1.0.tar.gz
| Download URL | datahero-0.1.0.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.2
|
Release files / datahero-0.1.0-py3-none-any.whl
| Download URL | datahero-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e7f110f76ae3ff6ad6d7ae00b4716de625e1c5b5b3ff82bc2728f563e1c5f30b
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.2
|
Security for datahero 0.1.0
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